Internship Summary: We are looking for a demand planning intern to support product development, data analytics, and new product launches. The intern will support a key initiative focused on improving how the Demand Planning team analyzes and learns from new product forecasts. The intern will partner with Demand Planning and Analytics teams to identify meaningful data trends, document findings, and help establish a repository that can support future forecasting improvements and AI-driven planning capabilities. This work will play an important role in helping the team leverage data more effectively and continuously improve forecasting processes. The internship takes place in Summer 2027. Program Highlights: Example #2 - AI & Forecasting Process Enhancement. Responsibilities: Support the creation of a centralized repository that captures historical forecasting assumptions, outcomes, and lessons learned from new product launches. Analyze trends across previous forecasts, identify factors that influenced performance, and document findings in a way that enables future teams to learn from past decisions. Partner with Demand Planning and Analytics teams to evaluate how historical forecasting data can support new machine learning and AI-enabled planning tools. Help organize and structure data inputs, identify business considerations that influence forecast performance, and recommend opportunities to improve how information is captured and utilized. Work with cross-functional partners to understand forecasting challenges, gather business requirements, and develop reporting or visualization tools that support decision-making. Present recommendations and insights that help improve forecasting processes, data accessibility, and planning effectiveness across the organization. Required Qualifications: Students who will have completed their junior year by the start of the internship and have an anticipated graduation date between December 2027 and April 2028. Microsoft Excel, including data analysis and reporting capabilities. Experience organizing, analyzing, and interpreting data. Experience creating dashboards, reports, or visualizations. Familiarity with Tableau, Power BI, Alteryx, or similar analytical tools. Experience using AI tools (such as Microsoft Copilot, ChatGPT, Claude, or similar platforms) to support analysis, research, or productivity. Ability to summarize data and communicate findings to business audiences. Natural curiosity and a desire to understand the "why" behind business results. Strong communication and presentation skills. Attention to detail and commitment to accuracy. Analytical thinking and problem-solving abilities. Ability to translate data into actionable business insights. Collaborative mindset with the ability to work across functions. Initiative and accountability when managing projects independently. Compensation: The compensation for this role is $24.36–$25.55 per hour. About Us: We are an HR consultancy firm, and we help candidates match with the potential roles by using an Artificial Intelligence System which is free of cost. Our approach to matchmaking utilizes several different formats throughout the course of the recruiting process. In addition to speaking with our recruiters and client-serving professionals, we also leverage the use of the Artificial Intelligence System to help you understand your strengths and strategize your career ahead. We can let you know better once you submit your resume.